Input Convex Neural Networks

Input Convex Neural Networks

22 September 2016

J. Zico Kolter

Papers citing "Input Convex Neural Networks"

12 / 112 papers shown

Title
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality Silviu Pitis Harris Chan Kiarash Jamali Jimmy Ba 6 24 0 14 Feb 2020
Learning Stable Deep Dynamics Models Gaurav Manek J. Zico Kolter 6 190 0 17 Jan 2020
Learning Convex Optimization Control Policies Akshay Agrawal Shane T. Barratt Stephen P. Boyd Bartolomeo Stellato 24 66 0 19 Dec 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 128 100 0 28 Sep 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 23 54 0 27 Sep 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 33 42 0 19 Feb 2019
Mad Max: Affine Spline Insights into Deep Learning Randall Balestriero Richard Baraniuk AI4CE 31 78 0 17 May 2018
NETT: Solving Inverse Problems with Deep Neural Networks Housen Li Johannes Schwab Stephan Antholzer Markus Haltmeier 25 238 0 28 Feb 2018
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Benjamin Eysenbach S. Gu Julian Ibarz Sergey Levine CLL 27 137 0 18 Nov 2017
End-to-End Learning for Structured Prediction Energy Networks David Belanger Bishan Yang Andrew McCallum 6 136 0 16 Mar 2017
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs Michael Gygli Mohammad Norouzi A. Angelova TDI 16 68 0 13 Mar 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks Brandon Amos J. Zico Kolter 19 943 0 01 Mar 2017